International Journal of Management Science and Engineering Management

Scope & Guideline

Advancing Management Science for Tomorrow's Engineering Challenges

Introduction

Immerse yourself in the scholarly insights of International Journal of Management Science and Engineering Management with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1750-9653
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2006 to 2024
AbbreviationINT J MANAG SCI ENG / Int. J. Manag. Sci. Eng. Manag.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The International Journal of Management Science and Engineering Management focuses on the development and application of management science principles and engineering methodologies to solve complex problems in various domains. The journal seeks to bridge theoretical frameworks with practical implementations, addressing contemporary challenges in management and engineering across industries.
  1. Optimization and Decision-Making Models:
    The journal emphasizes the development of optimization models and decision-making frameworks that enhance efficiency in various sectors, including supply chain management, production scheduling, and resource allocation.
  2. Sustainable Management Practices:
    A core focus is on sustainable management practices, particularly in supply chains and manufacturing, exploring strategies that minimize environmental impact while maximizing economic performance.
  3. Data-Driven Approaches and Analytics:
    The publication frequently features research incorporating data analytics, machine learning, and artificial intelligence to inform decision-making processes and improve operational efficiencies.
  4. Multi-Criteria Decision Analysis (MCDA):
    Research often employs MCDA techniques to address complex decision-making scenarios, particularly in contexts where multiple conflicting criteria must be considered.
  5. Resilience and Risk Management:
    The journal highlights studies on resilience in management systems, particularly in the face of disruptions, emphasizing strategies for effective risk assessment and governance.
The journal has increasingly focused on several emerging themes that reflect contemporary challenges and advancements in management science and engineering. These trends indicate a proactive response to the evolving landscape of industry needs and technological capabilities.
  1. Integration of AI and Machine Learning:
    Recent publications demonstrate a surge in research integrating artificial intelligence and machine learning techniques into management practices, particularly in predictive analytics and decision support systems.
  2. Sustainable and Circular Economy Strategies:
    There is a growing emphasis on sustainable practices and circular economy strategies, indicating a shift towards research that addresses environmental challenges and resource optimization.
  3. Health and Crisis Management:
    Emerging themes in health and crisis management, particularly in response to the COVID-19 pandemic, highlight the journal's focus on developing resilient systems capable of adapting to emergencies.
  4. Collaborative and Networked Manufacturing:
    Research exploring collaborative manufacturing and networked systems, particularly in the context of Industry 4.0, is gaining traction, reflecting the need for adaptability and integration in modern manufacturing processes.
  5. Advanced Optimization Techniques:
    The journal is increasingly featuring advanced optimization techniques, including metaheuristic and hybrid algorithms, to tackle complex scheduling and resource allocation problems.

Declining or Waning

While the journal maintains a diverse range of topics, certain areas have shown signs of declining prominence in recent publications. These waning themes may reflect shifts in industry focus or the maturation of specific methodologies.
  1. Traditional Inventory Management Techniques:
    There is a noticeable decline in papers focusing solely on traditional inventory management methods, as contemporary research leans towards integrating advanced technologies and data-driven approaches.
  2. Basic Theoretical Frameworks:
    Research that relies heavily on classical theoretical models without adaptation to current technological advancements appears to be less frequent, indicating a shift towards more innovative and practical applications.
  3. Single-Dimensional Supply Chain Analysis:
    The journal has seen a reduction in studies that analyze supply chains from a singular perspective, moving towards more integrated and holistic approaches to supply chain management.

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